IDEAS home Printed from https://ideas.repec.org/a/spr/metron/v73y2015i1p99-118.html
   My bibliography  Save this article

Simultaneous confidence intervals for comparing several exponential location parameters with a control

Author

Listed:
  • Parminder Singh
  • Anju Goyal
  • Amar Gill

Abstract

In this paper, two-sided simultaneous confidence intervals, on the lines of Hayter et al. (J Stat Plan Inference 86:81–99, 2000 ), to compare $$k$$ k two-parameter exponential populations with a control population in terms of location parameters are proposed, which combine the advantages of one-sided simultaneous confidence intervals and two-sided simultaneous confidence intervals of Bofinger (Aust J Stat 34(1):65–75, 1992 ). The proposed two-sided simultaneous confidence intervals also maintain the inferential sensitivity of positive directional decision of one-sided simultaneous confidence intervals. Computation of the critical constants of the proposed procedure is discussed and selected critical constants are tabulated. Working and advantages of the proposed procedure are demonstrated with a numerical example. Copyright Sapienza Università di Roma 2015

Suggested Citation

  • Parminder Singh & Anju Goyal & Amar Gill, 2015. "Simultaneous confidence intervals for comparing several exponential location parameters with a control," METRON, Springer;Sapienza Università di Roma, vol. 73(1), pages 99-118, April.
  • Handle: RePEc:spr:metron:v:73:y:2015:i:1:p:99-118
    DOI: 10.1007/s40300-014-0054-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s40300-014-0054-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s40300-014-0054-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Shu-Fei & Lin, Ying-Po & Yu, Yuh-Ru, 2010. "One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1372-1380, May.
    2. Wu, Shu-Fei & Chen, Hubert J., 1998. "Multiple comparison procedures with the average for exponential location parameters," Computational Statistics & Data Analysis, Elsevier, vol. 26(4), pages 461-484, February.
    3. Parminder Singh & Asheber Abebe, 2009. "Comparing several exponential populations with more than one control," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(3), pages 359-374, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kharrati-Kopaei, Mahmood & Malekzadeh, Ahad & Sadooghi-Alvandi, Mohammad, 2013. "Simultaneous fiducial generalized confidence intervals for the successive differences of exponential location parameters under heteroscedasticity," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1547-1552.
    2. A. Malekzadeh & M. Kharrati-Kopaei & S. Sadooghi-Alvandi, 2014. "Comparing exponential location parameters with several controls under heteroscedasticity," Computational Statistics, Springer, vol. 29(5), pages 1083-1094, October.
    3. Maurya, Vishal & Gill, A.N. & Goyal, Aarti, 2017. "A new two-stage multiple comparison procedure for comparing several exponential populations with a control under heteroscedasticity," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 1-11.
    4. Vishal Maurya & Amar Nath Gill & Parminder Singh, 2013. "Multiple comparisons with a control for exponential location parameters under heteroscedasticity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1817-1830, August.
    5. Parminder Singh & Asheber Abebe, 2009. "Comparing several exponential populations with more than one control," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(3), pages 359-374, August.
    6. Shu-Fei Wu, 2022. "Multiple Comparison Procedures for Exponential Mean Lifetimes Compared with Several Controls," Mathematics, MDPI, vol. 10(4), pages 1-10, February.
    7. Tong-Yu Lu & Wai-Yin Poon & Siu Cheung, 2014. "A Unified Framework for the Comparison of Treatments with Ordinal Responses," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 605-620, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:metron:v:73:y:2015:i:1:p:99-118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.